A novel binary method for fingerprint optical coherence tomography images

Author

Yu-wei Hsu ; Jiann-Der Lee ; Tseng, E. ; Li-chang Liu

Author_Institution

Dept. of Elec. Eng., Nat. ChiaoTung Univ., Hsinchu, Taiwan

fYear

2014

fDate

7-10 Oct. 2014

Firstpage

144

Lastpage

145

Abstract

This paper described a novel binary method for inhomogeneously lighted fingerprint optical coherence tomography (OCT) images. To reduce the light effect problem, a block size is calculated by the median value of the length values of white pixels between black pixels in the initial binary result and used to rescale the gray values of the input image. The rescaled gray image is used to calculate the binary candidate image and the binary gradient direction image. The final ridges are calculated by using the relationship between the binary candidate image and the binary gradient direction image.

Keywords

biomedical optical imaging; fingerprint identification; gradient methods; medical image processing; optical tomography; OCT; binary candidate image; binary gradient direction image; fingerprint optical coherence tomography images; gray values; length values; light effect problem; rescaled gray image; Biomedical optical imaging; Coherence; Fingerprint recognition; Nonhomogeneous media; Optical imaging; Optical reflection; Tomography; OCT; Optical coherence tomography; binary; fingerprint; inhomogeneous light;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on

Conference_Location

Tokyo

Type

conf

DOI

10.1109/GCCE.2014.7031288

Filename

7031288